Phelma Formation 2022

Digital signal processing - 4PMEM4N1

  • Number of hours

    • Lectures 18.0
    • Projects 0
    • Tutorials 6.0
    • Internship 0
    • Laboratory works 0

    ECTS

    ECTS 2.0

Goal(s)

Acquisition of necessary background for implementing digital signal processing methods and also elementary knowledge for random signal processing.

Contact Bertrand RIVET

Content(s)

Digital signal processing :

•Sampling (brief recall) theorem and quantization
•Fourier Transform of discrete signal
•Discrete convolution
•Digital filter with finite impulse response (FIR)
•Digital filters with inifinite impulse response (IIR) : first order and second order cells, stability analysis, ...
•Digital filter synthesis

Random signal analysis :

•General description, statistical properties of random signal.
•Statistical correlation.
•Stationnary signal, Wiener-Kitchine theorem
•White noise, filtering of a random signal



Prerequisites

Basis of signal processing: continuous time signal processing.
Fourier transform, signal representations, linear filtering and sampling.

Test

Written examination : 2H



session 1 condition normale :
note de l'examen.

session 1 condition confinement :
note du devoir maison.

session 2 condition normale :
note de l'examen.

session 2 condition confinement :
note du devoir maison.

Additional Information

Semester 8 - This course is given in english only EN

Course list
Curriculum->Engineering degree->Semester 8